With the recent development in contrastive approaches that have huge potential in representative learning, they are good candidates for representing multivariate time series data sets [1]}. However, their potential for anomaly detection is less explored. In the next section, we propose a multi-variate Time-series Representational Learning through Contrastive Predictive Coding (TRL-CPC), towards anomaly detection. Table REF  summarizes some recent literature in CPC.
